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Global Cases Summary

January - Trends

February - Trends

March - Trends

April - Trends

May - Trends

June - Trends

July - Trends

Kenya

Africa

Comparitive Trend

As COVID-19 continues its silent and sometimes deadly march across the world, what can be learned from those uncertain, early days when it first made an appearance at a food market in Wuhan, China? People, understandably, have questions.

Because countries have taken radically different approaches to testing, and have sometimes changed testing strategies from one week to the next, scientists have struggled to compare case rates between countries.

Another difficulty has been working out the proportion of people who die after becoming infected, because many cases are never confirmed.

Travel restrictions, social distancing and lockdowns across Britain and elsewhere are all intended to suppress transmission of coronavirus.

For interactive Comparative trend, kindly visit:

Trend Analysis

Credit

Datasource

The Dashboard contains data from the number of Coronavirus confirmed cases, deaths, and recovered cases for every country and every day:

• Start: 2020-01-22

• Latest Updated: 2020-07-01

• The data is provided by https://github.com/CSSEGISandData/COVID-19 and

  • transformed to JSON by https://pomber.github.io/covid19/timeseries.json
  • Pomber

Credits

• Recognition:

  • Data provided by JHU CSSE
  • COVID-19 data transformed to JSON by Pomber
  • Design layout motivated by a Sr Colleague: johnmutua

Packages

• Dashboard interface - the flexdashboard package.

• Visualization - the plotly package for the plots, leaflet for the map and highchart for interactive statistics

• Data manipulation - tidyverse

Note

• All the data displayed in the site are gathered from these sources, might sometime show outdated data and will take some time to sync

• ( Data Updated regularly updated using GitHub Actions. Every 3.AM EAT, Kenyan Time)

CONTACT:

CYRUS HERDER

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